Privacy protection and quantile estimation from noise multiplied data

DOI10.1007/s13571-011-0030-zzbMath1329.62147OpenAlexW2078437746MaRDI QIDQ2392594

Laura Zayatz, Tapan K. Nayak, Bimal Kumar Sinha

Publication date: 2 August 2013

Published in: Sankhyā. Series B (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13571-011-0030-z

zbMATH Keywords

confidentialityMetropolis algorithmprior distributiondisclosure risknoise multiplication

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Bayesian inference (62F15) Sampling theory, sample surveys (62D05) Order statistics; empirical distribution functions (62G30) Contingency tables (62H17)

Related Items (3)

Unnamed Item ⋮ The vulnerability of multiplicative noise protection to correlation-attacks on continuous microdata ⋮ Nonparametric estimation in a multiplicative censoring model with symmetric noise

Cites Work

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• A bayesian approach to the estimation of the largest normal mean
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• Unbiased inestimability of the larger of two parameters
• Estimation of the Larger of Two Normal Means
• Estimation of the Larger Translation Parameter
• Maximum likelihood estimators for ranked means
• Maximum likelihood estimators for non-1-1 functions

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